Title :
Direction-of-Arrival Estimation of M-1 Signals Based on Unitary-ESPRIT and Successive-Selection Technique with an M-Element Hexagonal Array
Author :
Taillefer, Eddy ; Cheng, Jun ; Watanabe, Yoichiro
Author_Institution :
Dept. of Intell. Inf. Eng. & Sci., Doshisha Univ., Kyotanabe
Abstract :
A method for full-azimuth DoA estimation of multiple signals with a hexagonal array is proposed. The DoA estimation is performed in two steps. In the first, a set of estimate candidates is constructed by gathering the estimates that are obtained from applying the Unitary-ESPRIT algorithm to several translational invariances designed into a hexagonal array. In the second step, the DoA estimates are successively selected from the estimate candidate set by using a selection function. The proposed method removes the north-or-south signal membership ambiguity and the limitation on the number of estimable sources, problems common to any ESPRIT-based algorithm used with one translational invariance. Therefore, up to M - 1 signal DoA estimations can be expected with an M-element hexagonal array in the full azimuth. The successive-selection approach is based on a selection function that uses an estimate of the signal´s spatial correlation matrix to successively select the DoA estimates. For each DoA estimate selection, the already estimated signal components are removed from the correlation matrix. The method´s DoA estimation and resolution capabilities are demonstrated by computer simulation.
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; matrix algebra; M-element hexagonal array; direction-of-arrival estimation; full-azimuth DoA estimation; signal membership ambiguity; spatial correlation matrix; successive-selection technique; translational invariance; unitary-ESPRIT algorithm; Algorithm design and analysis; Azimuth; Communications Society; Computational efficiency; Computer simulation; Direction of arrival estimation; Multiple signal classification; Signal resolution; Spatial resolution; Working environment noise;
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
DOI :
10.1109/ICC.2008.159